alexbnlee · November 5, 2019 05:01 · alexbnlee · Nov 5, 2019 · alexbnlee · Nov 5, 2019
diff --git a/stanford_ner_alex.py b/stanford_ner_alex.py
 article = '''
 Asian shares skidded on Tuesday after a rout in tech stocks put Wall Street to the sword, while a 
 sharp drop in oil prices and political risks in Europe pushed the dollar to 16-month highs as investors dumped 
 riskier assets. MSCI’s broadest index of Asia-Pacific shares outside Japan dropped 1.7 percent to a 1-1/2 
 week trough, with Australian shares sinking 1.6 percent. Japan’s Nikkei dived 3.1 percent led by losses in 
 electric machinery makers and suppliers of Apple’s iphone parts. Sterling fell to $1.286 after three straight 
 sessions of losses took it to the lowest since Nov.1 as there were still considerable unresolved issues with the
 European Union over Brexit, British Prime Minister Theresa May said on Monday.'''

 import nltk
 from nltk.tag import StanfordNERTagger

 print('NTLK Version: %s' % nltk.__version__)

 stanford_ner_tagger = StanfordNERTagger(
    r"D:\Twitter Data\Data\NER\stanford-ner-2018-10-16\classifiers\english.muc.7class.distsim.crf.ser.gz",
    r"D:\Twitter Data\Data\NER\stanford-ner-2018-10-16\stanford-ner-3.9.2.jar")

 results = stanford_ner_tagger.tag(article.split())

 print('Original Sentence: %s' % (article))
 for result in results:
    tag_value = result[0]
    tag_type = result[1]
    if tag_type != 'O':
        print('Type: %s, Value: %s' % (tag_type, tag_value))
	article = '''
	Asian shares skidded on Tuesday after a rout in tech stocks put Wall Street to the sword, while a
	sharp drop in oil prices and political risks in Europe pushed the dollar to 16-month highs as investors dumped
	riskier assets. MSCI’s broadest index of Asia-Pacific shares outside Japan dropped 1.7 percent to a 1-1/2
	week trough, with Australian shares sinking 1.6 percent. Japan’s Nikkei dived 3.1 percent led by losses in
	electric machinery makers and suppliers of Apple’s iphone parts. Sterling fell to $1.286 after three straight
	sessions of losses took it to the lowest since Nov.1 as there were still considerable unresolved issues with the
	European Union over Brexit, British Prime Minister Theresa May said on Monday.'''

	import nltk
	from nltk.tag import StanfordNERTagger

	print('NTLK Version: %s' % nltk.__version__)

	stanford_ner_tagger = StanfordNERTagger(
	r"D:\Twitter Data\Data\NER\stanford-ner-2018-10-16\classifiers\english.muc.7class.distsim.crf.ser.gz",
	r"D:\Twitter Data\Data\NER\stanford-ner-2018-10-16\stanford-ner-3.9.2.jar")

	results = stanford_ner_tagger.tag(article.split())

	print('Original Sentence: %s' % (article))
	for result in results:
	tag_value = result[0]
	tag_type = result[1]
	if tag_type != 'O':
	print('Type: %s, Value: %s' % (tag_type, tag_value))
No results found